ChrisRackauckas / universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
☆224Updated 2 years ago
Alternatives and similar repositories for universal_differential_equations
Users that are interested in universal_differential_equations are comparing it to the libraries listed below
Sorting:
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization☆417Updated last month
- Surrogate modeling and optimization for scientific machine learning (SciML)☆343Updated last month
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆274Updated this week
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆348Updated this week
- Nonlinear Dynamics: A concise introduction interlaced with code☆241Updated 10 months ago
- Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem☆297Updated last week
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆328Updated this week
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆892Updated 2 weeks ago
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem☆282Updated last week
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆566Updated 3 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆276Updated 7 months ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- A Julia package to perform Bifurcation Analysis☆330Updated last week
- Linear operators for discretizations of differential equations and scientific machine learning (SciML)☆283Updated last year
- Automatic Differentiation Library for Computational and Mathematical Engineering☆302Updated last year
- Automatic Finite Difference PDE solving with Julia SciML☆175Updated last month
- 18.303 - Linear PDEs course☆142Updated last year
- Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method☆249Updated this week
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆126Updated last month
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆122Updated 7 months ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆253Updated 2 years ago
- A package for Gaussian random field generation in Julia☆74Updated 3 weeks ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆734Updated last year
- 18.337 - Parallel Computing and Scientific Machine Learning☆238Updated 2 years ago
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆206Updated 2 weeks ago
- Finite element toolbox for Julia☆372Updated this week
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆94Updated last year
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,073Updated this week
- Start solving PDEs in Julia with Gridap.jl☆133Updated 2 months ago